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HABIT: Handwritten Analysis based Individualistic Traits Prediction
Abdul Rahiman, Diana Varghese, Manoj Kumar G
Pages - 209 - 218     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
Handwriting Analysis, Feature Extraction, Patterns.
Handwriting Analysis is a scientific method of identifying, evaluating and understanding an individual’s personality based on handwriting. Each personality trait of a person is represented by a neurological brain pattern. Each of these neurological brain patterns produces a unique neuromuscular movement that is the same for every person who has that particular personality trait. When writing, these tiny movements occur unconsciously. Strokes, patterns and pressure applied while writing can reveal specific personality traits. The true personality including emotional outlay, fears, honesty and defenses are revealed. Professional handwriting examiners called graphologists analyze handwriting samples for this purpose. However, accuracy of the analysis depends on how skilled the analyst is. The analyst is also prone to fatigue. High cost incurred is yet another deterrent. This paper aims at implementing an off-line, writer-independent handwriting analysis system “HABIT” (Handwriting Analysis Based Individualistic Traits Prediction) which acts as a tool to predict the personality traits of a writer automatically from features extracted from a scanned image of the writer’s handwriting sample given as input. The features include slant of baseline, pen pressure, slant of letters and size of writing. The implementation uses Java and Eclipse-Indigo as tools.
CITED BY (3)  
1 Kedar, S., Bormane, D. S., & Nair, V. (2016). Heart Disease Prediction Using k-Nearest Neighbor Classifier Based on Handwritten Text. In Computational Intelligence in Data Mining—Volume 1 (pp. 49-56). Springer India.
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Dr. Abdul Rahiman
Director, AICTE Ministry of HRD, Govt of India New Delhi - India
Miss Diana Varghese
Business Analyst, Mu Sigma Business Soln Pvt Ltd Bangalore - India
Dr. Manoj Kumar G
Associate Professor, Dept of Computer Science LBSITW,Trivandrum, Kerala - India